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ICCS
2005
Springer
16 years 1 days ago
Adaptive Smoothing Neural Networks in Foreign Exchange Rate Forecasting
This study proposes a novel forecasting approach – an adaptive smoothing neural network (ASNN) – to predict foreign exchange rates. In this new model, adaptive smoothing techni...
Lean Yu, Shouyang Wang, Kin Keung Lai
NIPS
2007
15 years 8 months ago
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
A non–linear dynamic system is called contracting if initial conditions are forgotten exponentially fast, so that all trajectories converge to a single trajectory. We use contra...
Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, ...
FUIN
2008
103views more  FUIN 2008»
15 years 6 months ago
Implementing Sorting Networks with Spiking Neural P Systems
Spiking neural P systems simulate the behavior of neurons sending signals through axons. Recently, some applications concerning Boolean circuits and sorting algorithms have been pr...
Rodica Ceterchi, Alexandru Ioan Tomescu
ECAL
2005
Springer
16 years 2 days ago
Analysing the Evolvability of Neural Network Agents Through Structural Mutations
This paper investigates evolvability of artificial neural networks within an artificial life environment. Five different structural mutations are investigated, including adaptive e...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
IJCAI
2007
15 years 8 months ago
Extracting Propositional Rules from Feed-forward Neural Networks - A New Decompositional Approach
In this paper, we present a new decompositional approach for the extraction of propositional rules from feed-forward neural networks of binary threshold units. After decomposing t...
Sebastian Bader, Steffen Hölldobler, Valentin...